Postdoctoral Research Associate, Radiology and Imaging Services

Postdoctoral Research Associate, Radiology and Imaging Services Position Highlights

The Department of Radiology & Imaging Sciences at the University of Arizona invites applications for a Postdoctoral Scholar with expertise in MR pulse sequence development and advanced image reconstruction. The successful candidate will contribute to NIH-funded research focused on developing and validating quantitative magnetic resonance imaging (qMRI) methods and applying these techniques to clinically relevant problems.

Interested candidates are encouraged to apply and will join an active team focused on cutting-edge quantitative MRI method development and clinical translation.

• Visa sponsorship is not available for this position.

Outstanding U of A benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; UA/ASU/NAU tuition reduction for the employee and qualified family members; access to UA recreation and cultural activities; and more.

• Design, implement, and optimize MR pulse sequences on Siemens platforms for quantitative imaging.
• Develop, adapt, and evaluate modern reconstruction algorithms for accelerated and robust qMRI.
• Collaborate with a multidisciplinary team to translate methods to clinical research studies and analyze imaging data.
• Disseminate findings through peer-reviewed manuscripts, conference presentations, open/reproducible code, and the development and distribution of Siemens Work-In-Progress (WIP) packages where appropriate.

• Ph.D. in Electrical Engineering, Biomedical Engineering, Applied Mathematics, or a closely related field.
• Demonstrated experience with Siemens MR pulse sequence programming (e.g., IDEA/ICE) and contemporary image reconstruction techniques (e.g., compressed sensing, parallel imaging, model-based or deep learning reconstructions).
• Knowledge of radial data acquisition strategies, artifact mitigation methods, and their use in parametric imaging (e.g., T1/T2/T2
  * mapping).

• Strong programming skills (e.g., C/C++, Python, MATLAB) and familiarity with scientific software development best practices.
• Evidence of scholarly productivity and effective collaboration in interdisciplinary teams.

NIH salary guidelines, Depends on Experience (salary at 1.0 full-time equivalency).

Yes - Full Benefits